Chapter 1 Mathematical Models and Methods for Remote Sensing Image Analysis: An Introduction

Chapter 2 Models for Hyperspectral Image Analysis: From Unmixing to Object-Based Classification

Chapter 3 Very High Spatial Resolution Optical Imagery: Tree-Based Methods and Multi-temporal Models for Mining and Analysis

Chapter 5 Polarimetric SAR Modelling: Mellin Kind Statistics and Time-Frequency Analysis

Chapter 6 Remote Sensing Data Fusion: Guided Filter-Based Hyperspectral Pansharpening and Graph-Based Feature-Level Fusion

Chapter 7 Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification

Chapter 8 Change Detection in Multitemporal Images Through Single- and Multi-scale Approaches

Chapter 9 Satellite Image Time Series: Mathematical Models for Data Mining and Missing Data Restoration

Chapter 10 Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval